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Marketing Analytics: Case Studies Name: Stephan Forger 2013; www.stephansorger.com Date: MARKETING ANALYTICS: Case Study Case No. 2 Chapters 2 Case Title Market Sizing Background You have been promoted
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How to Fill Out Marketing Analytics Case Studies:

01
Understand the goal: Before starting a marketing analytics case study, it is important to clearly understand the objective. Determine what specific information or insights you aim to gather from the study.
02
Identify the data sources: Collecting relevant and accurate data is crucial for filling out marketing analytics case studies. Determine the appropriate data sources such as website analytics, social media metrics, customer surveys, or sales data.
03
Define the variables: In marketing analytics case studies, it is important to define the variables that will be measured and analyzed. These variables can include customer demographics, product performance, promotional activities, or market trends.
04
Collect the data: Once the data sources and variables are identified, collect the necessary data. This may involve conducting surveys, tracking online activities, or analyzing existing data sets.
05
Analyze the data: Apply statistical and analytical techniques to examine the collected data. This can involve using tools like Excel, R, or statistical software to calculate metrics, identify patterns, or generate visualizations.
06
Draw conclusions: Based on the analysis of the data, draw meaningful conclusions and insights. Identify key trends, patterns, or correlations that are relevant to your marketing goals.
07
Present findings: Present the findings of your marketing analytics case study in a clear and concise manner. Consider using visual aids, such as charts or graphs, to effectively communicate the results.

Who Needs Marketing Analytics Case Studies:

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Marketing professionals: Marketing analytics case studies are particularly useful for marketing professionals who want to evaluate the impact of their campaigns, assess customer behavior, or make data-driven marketing decisions.
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Business owners: Entrepreneurs and business owners can benefit from marketing analytics case studies to understand consumer preferences, optimize marketing strategies, or identify areas of improvement for their products or services.
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Researchers: Marketing analytics case studies are valuable tools for researchers who aim to explore specific marketing phenomena, test hypotheses, or contribute to academic knowledge in the field of marketing.
In summary, filling out marketing analytics case studies involves understanding the goal, identifying data sources, defining variables, collecting and analyzing data, drawing conclusions, and presenting findings. These case studies are beneficial for marketing professionals, business owners, and researchers seeking valuable insights to inform marketing strategies and decision-making processes.
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Marketing analytics case studies involve the analysis of marketing data to understand the effectiveness of campaigns and strategies.
Marketing analysts, data scientists, and marketing managers are typically responsible for filing marketing analytics case studies.
Marketing analytics case studies are typically filled out by collecting relevant data, analyzing it, and presenting findings in a structured report.
The purpose of marketing analytics case studies is to assess the performance of marketing campaigns, identify areas for improvement, and make data-driven decisions.
Information such as campaign objectives, KPIs, data sources, analysis methods, and key findings must be reported on marketing analytics case studies.
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